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A new word-based compression model allowing compressed pattern matching
2017
Turkish Journal of Electrical Engineering and Computer Sciences
In this study a new semistatic data compression model that has a fast coding process and that allows compressed pattern matching is introduced. The name of the proposed model is chosen as tagged word-based compression algorithm (TWBCA) since it has a word-based coding and word-based compressed matching algorithm. The model has two phases. In the first phase a dictionary is constructed by adding a phrase, paying attention to word boundaries, and in the second phase compression is done by using
doi:10.3906/elk-1601-92
fatcat:q4p4rrbkzfadfhysapwmbgevkm